Small logistics companies often face overbilling issues due to various types of freight billing fraud. This problem leads to significant financial losses and operational inefficiencies.
Pain Points
- Financial losses due to undetected overbilling
- Time-consuming manual auditing processes
- Lack of automated tools for fraud detection
I spent the last few weeks learning Python and building an automated freight invoice auditing tool. Not because someone told me to. Because I researched freight billing fraud and realized small logistics companies get overbilled constantly and have no automated way to catch it. Here is what the tool found on a 26-invoice test file: Weight inflation: $306 across 7 invoices Rate fraud: $523 across 7 invoices Fuel surcharge overbilling: $289 Duplicate invoice: 1 confirmed Total found: $1,118 The tool reads any CSV or Excel invoice file and outputs a color coded Excel report showing every overcharge found. I am now looking for real logistics companies to test it on. Performance based only — I take 30% of what gets recovered. Nothing found means nothing owed. Not asking for anything here. Just sharing what I built. Happy to answer questions about how it works or what I learned building it.